Cargando…
Machine learning analysis on the impacts of COVID-19 on India’s renewable energy transitions and air quality
India is severely affected by the COVID-19 pandemic and is facing an unprecedented public health emergency. While the country’s immediate measures focus on combating the coronavirus spread, it is important to investigate the impacts of the current crisis on India’s renewable energy transition and ai...
Autores principales: | Stephan, Thompson, Al-Turjman, Fadi, Ravishankar, Monica, Stephan, Punitha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205654/ https://www.ncbi.nlm.nih.gov/pubmed/35715677 http://dx.doi.org/10.1007/s11356-022-20997-2 |
Ejemplares similares
-
Talk renewables, walk coal: The paradox of India's energy transition
por: Roy, Brototi, et al.
Publicado: (2021) -
Machine learning approaches reveal highly heterogeneous air quality co-benefits of the energy transition
por: Zhang, Da, et al.
Publicado: (2023) -
A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images
por: Rasheed, Jawad, et al.
Publicado: (2021) -
COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
por: Zivkovic, Miodrag, et al.
Publicado: (2021) -
A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm
por: Yedurkar, Dhanalekshmi Prasad, et al.
Publicado: (2022)